{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np \n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "from pandas import Series,DataFrame\n",
    "from scipy import stats\n",
    "\n",
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>title</th>\n",
       "      <th>title_orig</th>\n",
       "      <th>price</th>\n",
       "      <th>retail_price</th>\n",
       "      <th>currency_buyer</th>\n",
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       "      <th>rating_five_count</th>\n",
       "      <th>...</th>\n",
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       "      <th>product_url</th>\n",
       "      <th>product_picture</th>\n",
       "      <th>product_id</th>\n",
       "      <th>theme</th>\n",
       "      <th>crawl_month</th>\n",
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       "      <th>0</th>\n",
       "      <td>2020 Summer Vintage Flamingo Print  Pajamas Se...</td>\n",
       "      <td>2020 Summer Vintage Flamingo Print  Pajamas Se...</td>\n",
       "      <td>16.00</td>\n",
       "      <td>14</td>\n",
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       "      <td>100</td>\n",
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       "      <td>5e9ae51d43d6a96e303acdb0</td>\n",
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       "      <td>2020-08</td>\n",
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       "      <td>SSHOUSE Summer Casual Sleeveless Soirée Party ...</td>\n",
       "      <td>Women's Casual Summer Sleeveless Sexy Mini Dress</td>\n",
       "      <td>8.00</td>\n",
       "      <td>22</td>\n",
       "      <td>EUR</td>\n",
       "      <td>20000</td>\n",
       "      <td>1</td>\n",
       "      <td>3.45</td>\n",
       "      <td>6135</td>\n",
       "      <td>2269.0</td>\n",
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       "      <td>17752</td>\n",
       "      <td>3.899673</td>\n",
       "      <td>56458aa03a698c35c9050988</td>\n",
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       "      <td>https://contestimg.wish.com/api/webimage/58940...</td>\n",
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       "      <td>2020-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2020 Nouvelle Arrivée Femmes Printemps et Été ...</td>\n",
       "      <td>2020 New Arrival Women Spring and Summer Beach...</td>\n",
       "      <td>8.00</td>\n",
       "      <td>43</td>\n",
       "      <td>EUR</td>\n",
       "      <td>100</td>\n",
       "      <td>0</td>\n",
       "      <td>3.57</td>\n",
       "      <td>14</td>\n",
       "      <td>5.0</td>\n",
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       "      <td>295</td>\n",
       "      <td>3.989831</td>\n",
       "      <td>5d464a1ffdf7bc44ee933c65</td>\n",
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       "      <td>5ea10e2c617580260d55310a</td>\n",
       "      <td>summer</td>\n",
       "      <td>2020-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Hot Summer Cool T-shirt pour les femmes Mode T...</td>\n",
       "      <td>Hot Summer Cool T Shirt for Women Fashion Tops...</td>\n",
       "      <td>8.00</td>\n",
       "      <td>8</td>\n",
       "      <td>EUR</td>\n",
       "      <td>5000</td>\n",
       "      <td>1</td>\n",
       "      <td>4.03</td>\n",
       "      <td>579</td>\n",
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       "      <td>4.020435</td>\n",
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       "      <td>2020-08</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Femmes Shorts d'été à lacets taille élastique ...</td>\n",
       "      <td>Women Summer Shorts Lace Up Elastic Waistband ...</td>\n",
       "      <td>2.72</td>\n",
       "      <td>3</td>\n",
       "      <td>EUR</td>\n",
       "      <td>100</td>\n",
       "      <td>1</td>\n",
       "      <td>3.10</td>\n",
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       "      <td>Nouvelle Mode Femmes Bohême Pissenlit Imprimer...</td>\n",
       "      <td>New Fashion Women Bohemia Dandelion Print Tee ...</td>\n",
       "      <td>6.00</td>\n",
       "      <td>9</td>\n",
       "      <td>EUR</td>\n",
       "      <td>10000</td>\n",
       "      <td>1</td>\n",
       "      <td>4.08</td>\n",
       "      <td>1367</td>\n",
       "      <td>722.0</td>\n",
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       "      <td>5316</td>\n",
       "      <td>4.224605</td>\n",
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       "      <td>5d5fadc99febd9356cbc52ee</td>\n",
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       "      <td>10 couleurs femmes shorts d'été lacent ceintur...</td>\n",
       "      <td>10 Color Women Summer Shorts Lace Up Elastic W...</td>\n",
       "      <td>2.00</td>\n",
       "      <td>56</td>\n",
       "      <td>EUR</td>\n",
       "      <td>100</td>\n",
       "      <td>1</td>\n",
       "      <td>3.07</td>\n",
       "      <td>28</td>\n",
       "      <td>11.0</td>\n",
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       "      <td>5eccd22b4497b86fd48f16b4</td>\n",
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       "      <td>2020-08</td>\n",
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       "    <tr>\n",
       "      <th>1570</th>\n",
       "      <td>Nouveautés Hommes Siwmwear Beach-Shorts Hommes...</td>\n",
       "      <td>New Men Siwmwear Beach-Shorts Men Summer Quick...</td>\n",
       "      <td>5.00</td>\n",
       "      <td>19</td>\n",
       "      <td>EUR</td>\n",
       "      <td>100</td>\n",
       "      <td>0</td>\n",
       "      <td>3.71</td>\n",
       "      <td>59</td>\n",
       "      <td>24.0</td>\n",
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       "      <td>5e74be96034d613d42b52dfe</td>\n",
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       "      <th>1571</th>\n",
       "      <td>Mode femmes d'été sans manches robes col en V ...</td>\n",
       "      <td>Fashion Women Summer Sleeveless Dresses V Neck...</td>\n",
       "      <td>13.00</td>\n",
       "      <td>11</td>\n",
       "      <td>EUR</td>\n",
       "      <td>100</td>\n",
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       "    <tr>\n",
       "      <th>1572</th>\n",
       "      <td>Pantalon de yoga pour femmes à la mode Slim Fi...</td>\n",
       "      <td>Fashion Women Yoga Pants Slim Fit Fitness Runn...</td>\n",
       "      <td>7.00</td>\n",
       "      <td>6</td>\n",
       "      <td>EUR</td>\n",
       "      <td>100</td>\n",
       "      <td>1</td>\n",
       "      <td>4.07</td>\n",
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       "      <td>8.0</td>\n",
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       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1573 rows × 43 columns</p>\n",
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      ],
      "text/plain": [
       "                                                  title  \\\n",
       "0     2020 Summer Vintage Flamingo Print  Pajamas Se...   \n",
       "1     SSHOUSE Summer Casual Sleeveless Soirée Party ...   \n",
       "2     2020 Nouvelle Arrivée Femmes Printemps et Été ...   \n",
       "3     Hot Summer Cool T-shirt pour les femmes Mode T...   \n",
       "4     Femmes Shorts d'été à lacets taille élastique ...   \n",
       "...                                                 ...   \n",
       "1568  Nouvelle Mode Femmes Bohême Pissenlit Imprimer...   \n",
       "1569  10 couleurs femmes shorts d'été lacent ceintur...   \n",
       "1570  Nouveautés Hommes Siwmwear Beach-Shorts Hommes...   \n",
       "1571  Mode femmes d'été sans manches robes col en V ...   \n",
       "1572  Pantalon de yoga pour femmes à la mode Slim Fi...   \n",
       "\n",
       "                                             title_orig  price  retail_price  \\\n",
       "0     2020 Summer Vintage Flamingo Print  Pajamas Se...  16.00            14   \n",
       "1      Women's Casual Summer Sleeveless Sexy Mini Dress   8.00            22   \n",
       "2     2020 New Arrival Women Spring and Summer Beach...   8.00            43   \n",
       "3     Hot Summer Cool T Shirt for Women Fashion Tops...   8.00             8   \n",
       "4     Women Summer Shorts Lace Up Elastic Waistband ...   2.72             3   \n",
       "...                                                 ...    ...           ...   \n",
       "1568  New Fashion Women Bohemia Dandelion Print Tee ...   6.00             9   \n",
       "1569  10 Color Women Summer Shorts Lace Up Elastic W...   2.00            56   \n",
       "1570  New Men Siwmwear Beach-Shorts Men Summer Quick...   5.00            19   \n",
       "1571  Fashion Women Summer Sleeveless Dresses V Neck...  13.00            11   \n",
       "1572  Fashion Women Yoga Pants Slim Fit Fitness Runn...   7.00             6   \n",
       "\n",
       "     currency_buyer  units_sold  uses_ad_boosts  rating  rating_count  \\\n",
       "0               EUR         100               0    3.76            54   \n",
       "1               EUR       20000               1    3.45          6135   \n",
       "2               EUR         100               0    3.57            14   \n",
       "3               EUR        5000               1    4.03           579   \n",
       "4               EUR         100               1    3.10            20   \n",
       "...             ...         ...             ...     ...           ...   \n",
       "1568            EUR       10000               1    4.08          1367   \n",
       "1569            EUR         100               1    3.07            28   \n",
       "1570            EUR         100               0    3.71            59   \n",
       "1571            EUR         100               0    2.50             2   \n",
       "1572            EUR         100               1    4.07            14   \n",
       "\n",
       "      rating_five_count  ...  merchant_rating_count  merchant_rating  \\\n",
       "0                  26.0  ...                    568         4.128521   \n",
       "1                2269.0  ...                  17752         3.899673   \n",
       "2                   5.0  ...                    295         3.989831   \n",
       "3                 295.0  ...                  23832         4.020435   \n",
       "4                   6.0  ...                  14482         4.001588   \n",
       "...                 ...  ...                    ...              ...   \n",
       "1568              722.0  ...                   5316         4.224605   \n",
       "1569               11.0  ...                   4435         3.696054   \n",
       "1570               24.0  ...                    210         3.961905   \n",
       "1571                0.0  ...                     31         3.774194   \n",
       "1572                8.0  ...                   7023         4.235939   \n",
       "\n",
       "                   merchant_id  merchant_has_profile_picture  \\\n",
       "0     595097d6a26f6e070cb878d1                             0   \n",
       "1     56458aa03a698c35c9050988                             0   \n",
       "2     5d464a1ffdf7bc44ee933c65                             0   \n",
       "3     58cfdefdacb37b556efdff7c                             0   \n",
       "4     5ab3b592c3911a095ad5dadb                             0   \n",
       "...                        ...                           ...   \n",
       "1568  5b507899ab577736508a0782                             0   \n",
       "1569  54d83b6b6b8a771e478558de                             0   \n",
       "1570  5b42da1bf64320209fc8da69                             0   \n",
       "1571  5d56b32c40defd78043d5af9                             0   \n",
       "1572  5a409cf87b584e7951b2e25f                             0   \n",
       "\n",
       "      merchant_profile_picture  \\\n",
       "0                          NaN   \n",
       "1                          NaN   \n",
       "2                          NaN   \n",
       "3                          NaN   \n",
       "4                          NaN   \n",
       "...                        ...   \n",
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       "1569                       NaN   \n",
       "1570                       NaN   \n",
       "1571                       NaN   \n",
       "1572                       NaN   \n",
       "\n",
       "                                          product_url  \\\n",
       "0     https://www.wish.com/c/5e9ae51d43d6a96e303acdb0   \n",
       "1     https://www.wish.com/c/58940d436a0d3d5da4e95a38   \n",
       "2     https://www.wish.com/c/5ea10e2c617580260d55310a   \n",
       "3     https://www.wish.com/c/5cedf17ad1d44c52c59e4aca   \n",
       "4     https://www.wish.com/c/5ebf5819ebac372b070b0e70   \n",
       "...                                               ...   \n",
       "1568  https://www.wish.com/c/5d5fadc99febd9356cbc52ee   \n",
       "1569  https://www.wish.com/c/5eccd22b4497b86fd48f16b4   \n",
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       "1571  https://www.wish.com/c/5eda07ab0e295c2097c36590   \n",
       "1572  https://www.wish.com/c/5e857321f53c3d2d8f25e7ed   \n",
       "\n",
       "                                        product_picture  \\\n",
       "0     https://contestimg.wish.com/api/webimage/5e9ae...   \n",
       "1     https://contestimg.wish.com/api/webimage/58940...   \n",
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       "...                                                 ...   \n",
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       "\n",
       "                    product_id   theme crawl_month  \n",
       "0     5e9ae51d43d6a96e303acdb0  summer     2020-08  \n",
       "1     58940d436a0d3d5da4e95a38  summer     2020-08  \n",
       "2     5ea10e2c617580260d55310a  summer     2020-08  \n",
       "3     5cedf17ad1d44c52c59e4aca  summer     2020-08  \n",
       "4     5ebf5819ebac372b070b0e70  summer     2020-08  \n",
       "...                        ...     ...         ...  \n",
       "1568  5d5fadc99febd9356cbc52ee  summer     2020-08  \n",
       "1569  5eccd22b4497b86fd48f16b4  summer     2020-08  \n",
       "1570  5e74be96034d613d42b52dfe  summer     2020-08  \n",
       "1571  5eda07ab0e295c2097c36590  summer     2020-08  \n",
       "1572  5e857321f53c3d2d8f25e7ed  summer     2020-08  \n",
       "\n",
       "[1573 rows x 43 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#读取数据集\n",
    "imp = pd.read_csv(\"summer-products-with-rating-and-performance_2020-08.csv\")\n",
    "imp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>title</th>\n",
       "      <th>title_orig</th>\n",
       "      <th>price</th>\n",
       "      <th>retail_price</th>\n",
       "      <th>currency_buyer</th>\n",
       "      <th>units_sold</th>\n",
       "      <th>uses_ad_boosts</th>\n",
       "      <th>rating</th>\n",
       "      <th>rating_count</th>\n",
       "      <th>rating_five_count</th>\n",
       "      <th>...</th>\n",
       "      <th>merchant_rating_count</th>\n",
       "      <th>merchant_rating</th>\n",
       "      <th>merchant_id</th>\n",
       "      <th>merchant_has_profile_picture</th>\n",
       "      <th>merchant_profile_picture</th>\n",
       "      <th>product_url</th>\n",
       "      <th>product_picture</th>\n",
       "      <th>product_id</th>\n",
       "      <th>theme</th>\n",
       "      <th>crawl_month</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2020 Summer Vintage Flamingo Print  Pajamas Se...</td>\n",
       "      <td>2020 Summer Vintage Flamingo Print  Pajamas Se...</td>\n",
       "      <td>16.00</td>\n",
       "      <td>14</td>\n",
       "      <td>EUR</td>\n",
       "      <td>100</td>\n",
       "      <td>0</td>\n",
       "      <td>3.76</td>\n",
       "      <td>54</td>\n",
       "      <td>26.0</td>\n",
       "      <td>...</td>\n",
       "      <td>568</td>\n",
       "      <td>4.128521</td>\n",
       "      <td>595097d6a26f6e070cb878d1</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://www.wish.com/c/5e9ae51d43d6a96e303acdb0</td>\n",
       "      <td>https://contestimg.wish.com/api/webimage/5e9ae...</td>\n",
       "      <td>5e9ae51d43d6a96e303acdb0</td>\n",
       "      <td>summer</td>\n",
       "      <td>2020-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>SSHOUSE Summer Casual Sleeveless Soirée Party ...</td>\n",
       "      <td>Women's Casual Summer Sleeveless Sexy Mini Dress</td>\n",
       "      <td>8.00</td>\n",
       "      <td>22</td>\n",
       "      <td>EUR</td>\n",
       "      <td>20000</td>\n",
       "      <td>1</td>\n",
       "      <td>3.45</td>\n",
       "      <td>6135</td>\n",
       "      <td>2269.0</td>\n",
       "      <td>...</td>\n",
       "      <td>17752</td>\n",
       "      <td>3.899673</td>\n",
       "      <td>56458aa03a698c35c9050988</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://www.wish.com/c/58940d436a0d3d5da4e95a38</td>\n",
       "      <td>https://contestimg.wish.com/api/webimage/58940...</td>\n",
       "      <td>58940d436a0d3d5da4e95a38</td>\n",
       "      <td>summer</td>\n",
       "      <td>2020-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2020 Nouvelle Arrivée Femmes Printemps et Été ...</td>\n",
       "      <td>2020 New Arrival Women Spring and Summer Beach...</td>\n",
       "      <td>8.00</td>\n",
       "      <td>43</td>\n",
       "      <td>EUR</td>\n",
       "      <td>100</td>\n",
       "      <td>0</td>\n",
       "      <td>3.57</td>\n",
       "      <td>14</td>\n",
       "      <td>5.0</td>\n",
       "      <td>...</td>\n",
       "      <td>295</td>\n",
       "      <td>3.989831</td>\n",
       "      <td>5d464a1ffdf7bc44ee933c65</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://www.wish.com/c/5ea10e2c617580260d55310a</td>\n",
       "      <td>https://contestimg.wish.com/api/webimage/5ea10...</td>\n",
       "      <td>5ea10e2c617580260d55310a</td>\n",
       "      <td>summer</td>\n",
       "      <td>2020-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Hot Summer Cool T-shirt pour les femmes Mode T...</td>\n",
       "      <td>Hot Summer Cool T Shirt for Women Fashion Tops...</td>\n",
       "      <td>8.00</td>\n",
       "      <td>8</td>\n",
       "      <td>EUR</td>\n",
       "      <td>5000</td>\n",
       "      <td>1</td>\n",
       "      <td>4.03</td>\n",
       "      <td>579</td>\n",
       "      <td>295.0</td>\n",
       "      <td>...</td>\n",
       "      <td>23832</td>\n",
       "      <td>4.020435</td>\n",
       "      <td>58cfdefdacb37b556efdff7c</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://www.wish.com/c/5cedf17ad1d44c52c59e4aca</td>\n",
       "      <td>https://contestimg.wish.com/api/webimage/5cedf...</td>\n",
       "      <td>5cedf17ad1d44c52c59e4aca</td>\n",
       "      <td>summer</td>\n",
       "      <td>2020-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Femmes Shorts d'été à lacets taille élastique ...</td>\n",
       "      <td>Women Summer Shorts Lace Up Elastic Waistband ...</td>\n",
       "      <td>2.72</td>\n",
       "      <td>3</td>\n",
       "      <td>EUR</td>\n",
       "      <td>100</td>\n",
       "      <td>1</td>\n",
       "      <td>3.10</td>\n",
       "      <td>20</td>\n",
       "      <td>6.0</td>\n",
       "      <td>...</td>\n",
       "      <td>14482</td>\n",
       "      <td>4.001588</td>\n",
       "      <td>5ab3b592c3911a095ad5dadb</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://www.wish.com/c/5ebf5819ebac372b070b0e70</td>\n",
       "      <td>https://contestimg.wish.com/api/webimage/5ebf5...</td>\n",
       "      <td>5ebf5819ebac372b070b0e70</td>\n",
       "      <td>summer</td>\n",
       "      <td>2020-08</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 43 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                               title  \\\n",
       "0  2020 Summer Vintage Flamingo Print  Pajamas Se...   \n",
       "1  SSHOUSE Summer Casual Sleeveless Soirée Party ...   \n",
       "2  2020 Nouvelle Arrivée Femmes Printemps et Été ...   \n",
       "3  Hot Summer Cool T-shirt pour les femmes Mode T...   \n",
       "4  Femmes Shorts d'été à lacets taille élastique ...   \n",
       "\n",
       "                                          title_orig  price  retail_price  \\\n",
       "0  2020 Summer Vintage Flamingo Print  Pajamas Se...  16.00            14   \n",
       "1   Women's Casual Summer Sleeveless Sexy Mini Dress   8.00            22   \n",
       "2  2020 New Arrival Women Spring and Summer Beach...   8.00            43   \n",
       "3  Hot Summer Cool T Shirt for Women Fashion Tops...   8.00             8   \n",
       "4  Women Summer Shorts Lace Up Elastic Waistband ...   2.72             3   \n",
       "\n",
       "  currency_buyer  units_sold  uses_ad_boosts  rating  rating_count  \\\n",
       "0            EUR         100               0    3.76            54   \n",
       "1            EUR       20000               1    3.45          6135   \n",
       "2            EUR         100               0    3.57            14   \n",
       "3            EUR        5000               1    4.03           579   \n",
       "4            EUR         100               1    3.10            20   \n",
       "\n",
       "   rating_five_count  ...  merchant_rating_count  merchant_rating  \\\n",
       "0               26.0  ...                    568         4.128521   \n",
       "1             2269.0  ...                  17752         3.899673   \n",
       "2                5.0  ...                    295         3.989831   \n",
       "3              295.0  ...                  23832         4.020435   \n",
       "4                6.0  ...                  14482         4.001588   \n",
       "\n",
       "                merchant_id  merchant_has_profile_picture  \\\n",
       "0  595097d6a26f6e070cb878d1                             0   \n",
       "1  56458aa03a698c35c9050988                             0   \n",
       "2  5d464a1ffdf7bc44ee933c65                             0   \n",
       "3  58cfdefdacb37b556efdff7c                             0   \n",
       "4  5ab3b592c3911a095ad5dadb                             0   \n",
       "\n",
       "   merchant_profile_picture                                      product_url  \\\n",
       "0                       NaN  https://www.wish.com/c/5e9ae51d43d6a96e303acdb0   \n",
       "1                       NaN  https://www.wish.com/c/58940d436a0d3d5da4e95a38   \n",
       "2                       NaN  https://www.wish.com/c/5ea10e2c617580260d55310a   \n",
       "3                       NaN  https://www.wish.com/c/5cedf17ad1d44c52c59e4aca   \n",
       "4                       NaN  https://www.wish.com/c/5ebf5819ebac372b070b0e70   \n",
       "\n",
       "                                     product_picture  \\\n",
       "0  https://contestimg.wish.com/api/webimage/5e9ae...   \n",
       "1  https://contestimg.wish.com/api/webimage/58940...   \n",
       "2  https://contestimg.wish.com/api/webimage/5ea10...   \n",
       "3  https://contestimg.wish.com/api/webimage/5cedf...   \n",
       "4  https://contestimg.wish.com/api/webimage/5ebf5...   \n",
       "\n",
       "                 product_id   theme crawl_month  \n",
       "0  5e9ae51d43d6a96e303acdb0  summer     2020-08  \n",
       "1  58940d436a0d3d5da4e95a38  summer     2020-08  \n",
       "2  5ea10e2c617580260d55310a  summer     2020-08  \n",
       "3  5cedf17ad1d44c52c59e4aca  summer     2020-08  \n",
       "4  5ebf5819ebac372b070b0e70  summer     2020-08  \n",
       "\n",
       "[5 rows x 43 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#打印数据集前几行\n",
    "imp.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['title', 'title_orig', 'price', 'retail_price', 'currency_buyer',\n",
       "       'units_sold', 'uses_ad_boosts', 'rating', 'rating_count',\n",
       "       'rating_five_count', 'rating_four_count', 'rating_three_count',\n",
       "       'rating_two_count', 'rating_one_count', 'badges_count',\n",
       "       'badge_local_product', 'badge_product_quality', 'badge_fast_shipping',\n",
       "       'tags', 'product_color', 'product_variation_size_id',\n",
       "       'product_variation_inventory', 'shipping_option_name',\n",
       "       'shipping_option_price', 'shipping_is_express', 'countries_shipped_to',\n",
       "       'inventory_total', 'has_urgency_banner', 'urgency_text',\n",
       "       'origin_country', 'merchant_title', 'merchant_name',\n",
       "       'merchant_info_subtitle', 'merchant_rating_count', 'merchant_rating',\n",
       "       'merchant_id', 'merchant_has_profile_picture',\n",
       "       'merchant_profile_picture', 'product_url', 'product_picture',\n",
       "       'product_id', 'theme', 'crawl_month'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#打印数据集的列名\n",
    "imp.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "34"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#检查重复项\n",
    "dupes=imp.duplicated()\n",
    "sum(dupes)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>title</th>\n",
       "      <th>title_orig</th>\n",
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       "      <th>retail_price</th>\n",
       "      <th>currency_buyer</th>\n",
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       "      <td>2020 Summer Vintage Flamingo Print  Pajamas Se...</td>\n",
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       "      <td>summer</td>\n",
       "      <td>2020-08</td>\n",
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       "      <td>SSHOUSE Summer Casual Sleeveless Soirée Party ...</td>\n",
       "      <td>Women's Casual Summer Sleeveless Sexy Mini Dress</td>\n",
       "      <td>8.00</td>\n",
       "      <td>22</td>\n",
       "      <td>EUR</td>\n",
       "      <td>20000</td>\n",
       "      <td>1</td>\n",
       "      <td>3.45</td>\n",
       "      <td>6135</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2020 Nouvelle Arrivée Femmes Printemps et Été ...</td>\n",
       "      <td>2020 New Arrival Women Spring and Summer Beach...</td>\n",
       "      <td>8.00</td>\n",
       "      <td>43</td>\n",
       "      <td>EUR</td>\n",
       "      <td>100</td>\n",
       "      <td>0</td>\n",
       "      <td>3.57</td>\n",
       "      <td>14</td>\n",
       "      <td>5.0</td>\n",
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       "      <td>3.989831</td>\n",
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       "      <td>https://www.wish.com/c/5ea10e2c617580260d55310a</td>\n",
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       "      <td>5ea10e2c617580260d55310a</td>\n",
       "      <td>summer</td>\n",
       "      <td>2020-08</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Hot Summer Cool T-shirt pour les femmes Mode T...</td>\n",
       "      <td>Hot Summer Cool T Shirt for Women Fashion Tops...</td>\n",
       "      <td>8.00</td>\n",
       "      <td>8</td>\n",
       "      <td>EUR</td>\n",
       "      <td>5000</td>\n",
       "      <td>1</td>\n",
       "      <td>4.03</td>\n",
       "      <td>579</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Femmes Shorts d'été à lacets taille élastique ...</td>\n",
       "      <td>Women Summer Shorts Lace Up Elastic Waistband ...</td>\n",
       "      <td>2.72</td>\n",
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       "      <td>5ebf5819ebac372b070b0e70</td>\n",
       "      <td>summer</td>\n",
       "      <td>2020-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1568</th>\n",
       "      <td>Nouvelle Mode Femmes Bohême Pissenlit Imprimer...</td>\n",
       "      <td>New Fashion Women Bohemia Dandelion Print Tee ...</td>\n",
       "      <td>6.00</td>\n",
       "      <td>9</td>\n",
       "      <td>EUR</td>\n",
       "      <td>10000</td>\n",
       "      <td>1</td>\n",
       "      <td>4.08</td>\n",
       "      <td>1367</td>\n",
       "      <td>722.0</td>\n",
       "      <td>...</td>\n",
       "      <td>5316</td>\n",
       "      <td>4.224605</td>\n",
       "      <td>5b507899ab577736508a0782</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://www.wish.com/c/5d5fadc99febd9356cbc52ee</td>\n",
       "      <td>https://contestimg.wish.com/api/webimage/5d5fa...</td>\n",
       "      <td>5d5fadc99febd9356cbc52ee</td>\n",
       "      <td>summer</td>\n",
       "      <td>2020-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1569</th>\n",
       "      <td>10 couleurs femmes shorts d'été lacent ceintur...</td>\n",
       "      <td>10 Color Women Summer Shorts Lace Up Elastic W...</td>\n",
       "      <td>2.00</td>\n",
       "      <td>56</td>\n",
       "      <td>EUR</td>\n",
       "      <td>100</td>\n",
       "      <td>1</td>\n",
       "      <td>3.07</td>\n",
       "      <td>28</td>\n",
       "      <td>11.0</td>\n",
       "      <td>...</td>\n",
       "      <td>4435</td>\n",
       "      <td>3.696054</td>\n",
       "      <td>54d83b6b6b8a771e478558de</td>\n",
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       "      <td>https://www.wish.com/c/5eccd22b4497b86fd48f16b4</td>\n",
       "      <td>https://contestimg.wish.com/api/webimage/5eccd...</td>\n",
       "      <td>5eccd22b4497b86fd48f16b4</td>\n",
       "      <td>summer</td>\n",
       "      <td>2020-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1570</th>\n",
       "      <td>Nouveautés Hommes Siwmwear Beach-Shorts Hommes...</td>\n",
       "      <td>New Men Siwmwear Beach-Shorts Men Summer Quick...</td>\n",
       "      <td>5.00</td>\n",
       "      <td>19</td>\n",
       "      <td>EUR</td>\n",
       "      <td>100</td>\n",
       "      <td>0</td>\n",
       "      <td>3.71</td>\n",
       "      <td>59</td>\n",
       "      <td>24.0</td>\n",
       "      <td>...</td>\n",
       "      <td>210</td>\n",
       "      <td>3.961905</td>\n",
       "      <td>5b42da1bf64320209fc8da69</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://www.wish.com/c/5e74be96034d613d42b52dfe</td>\n",
       "      <td>https://contestimg.wish.com/api/webimage/5e74b...</td>\n",
       "      <td>5e74be96034d613d42b52dfe</td>\n",
       "      <td>summer</td>\n",
       "      <td>2020-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1571</th>\n",
       "      <td>Mode femmes d'été sans manches robes col en V ...</td>\n",
       "      <td>Fashion Women Summer Sleeveless Dresses V Neck...</td>\n",
       "      <td>13.00</td>\n",
       "      <td>11</td>\n",
       "      <td>EUR</td>\n",
       "      <td>100</td>\n",
       "      <td>0</td>\n",
       "      <td>2.50</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>...</td>\n",
       "      <td>31</td>\n",
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       "      <td>5d56b32c40defd78043d5af9</td>\n",
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       "      <td>5eda07ab0e295c2097c36590</td>\n",
       "      <td>summer</td>\n",
       "      <td>2020-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1572</th>\n",
       "      <td>Pantalon de yoga pour femmes à la mode Slim Fi...</td>\n",
       "      <td>Fashion Women Yoga Pants Slim Fit Fitness Runn...</td>\n",
       "      <td>7.00</td>\n",
       "      <td>6</td>\n",
       "      <td>EUR</td>\n",
       "      <td>100</td>\n",
       "      <td>1</td>\n",
       "      <td>4.07</td>\n",
       "      <td>14</td>\n",
       "      <td>8.0</td>\n",
       "      <td>...</td>\n",
       "      <td>7023</td>\n",
       "      <td>4.235939</td>\n",
       "      <td>5a409cf87b584e7951b2e25f</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>https://www.wish.com/c/5e857321f53c3d2d8f25e7ed</td>\n",
       "      <td>https://contestimg.wish.com/api/webimage/5e857...</td>\n",
       "      <td>5e857321f53c3d2d8f25e7ed</td>\n",
       "      <td>summer</td>\n",
       "      <td>2020-08</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1539 rows × 43 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                  title  \\\n",
       "0     2020 Summer Vintage Flamingo Print  Pajamas Se...   \n",
       "1     SSHOUSE Summer Casual Sleeveless Soirée Party ...   \n",
       "2     2020 Nouvelle Arrivée Femmes Printemps et Été ...   \n",
       "3     Hot Summer Cool T-shirt pour les femmes Mode T...   \n",
       "4     Femmes Shorts d'été à lacets taille élastique ...   \n",
       "...                                                 ...   \n",
       "1568  Nouvelle Mode Femmes Bohême Pissenlit Imprimer...   \n",
       "1569  10 couleurs femmes shorts d'été lacent ceintur...   \n",
       "1570  Nouveautés Hommes Siwmwear Beach-Shorts Hommes...   \n",
       "1571  Mode femmes d'été sans manches robes col en V ...   \n",
       "1572  Pantalon de yoga pour femmes à la mode Slim Fi...   \n",
       "\n",
       "                                             title_orig  price  retail_price  \\\n",
       "0     2020 Summer Vintage Flamingo Print  Pajamas Se...  16.00            14   \n",
       "1      Women's Casual Summer Sleeveless Sexy Mini Dress   8.00            22   \n",
       "2     2020 New Arrival Women Spring and Summer Beach...   8.00            43   \n",
       "3     Hot Summer Cool T Shirt for Women Fashion Tops...   8.00             8   \n",
       "4     Women Summer Shorts Lace Up Elastic Waistband ...   2.72             3   \n",
       "...                                                 ...    ...           ...   \n",
       "1568  New Fashion Women Bohemia Dandelion Print Tee ...   6.00             9   \n",
       "1569  10 Color Women Summer Shorts Lace Up Elastic W...   2.00            56   \n",
       "1570  New Men Siwmwear Beach-Shorts Men Summer Quick...   5.00            19   \n",
       "1571  Fashion Women Summer Sleeveless Dresses V Neck...  13.00            11   \n",
       "1572  Fashion Women Yoga Pants Slim Fit Fitness Runn...   7.00             6   \n",
       "\n",
       "     currency_buyer  units_sold  uses_ad_boosts  rating  rating_count  \\\n",
       "0               EUR         100               0    3.76            54   \n",
       "1               EUR       20000               1    3.45          6135   \n",
       "2               EUR         100               0    3.57            14   \n",
       "3               EUR        5000               1    4.03           579   \n",
       "4               EUR         100               1    3.10            20   \n",
       "...             ...         ...             ...     ...           ...   \n",
       "1568            EUR       10000               1    4.08          1367   \n",
       "1569            EUR         100               1    3.07            28   \n",
       "1570            EUR         100               0    3.71            59   \n",
       "1571            EUR         100               0    2.50             2   \n",
       "1572            EUR         100               1    4.07            14   \n",
       "\n",
       "      rating_five_count  ...  merchant_rating_count  merchant_rating  \\\n",
       "0                  26.0  ...                    568         4.128521   \n",
       "1                2269.0  ...                  17752         3.899673   \n",
       "2                   5.0  ...                    295         3.989831   \n",
       "3                 295.0  ...                  23832         4.020435   \n",
       "4                   6.0  ...                  14482         4.001588   \n",
       "...                 ...  ...                    ...              ...   \n",
       "1568              722.0  ...                   5316         4.224605   \n",
       "1569               11.0  ...                   4435         3.696054   \n",
       "1570               24.0  ...                    210         3.961905   \n",
       "1571                0.0  ...                     31         3.774194   \n",
       "1572                8.0  ...                   7023         4.235939   \n",
       "\n",
       "                   merchant_id  merchant_has_profile_picture  \\\n",
       "0     595097d6a26f6e070cb878d1                             0   \n",
       "1     56458aa03a698c35c9050988                             0   \n",
       "2     5d464a1ffdf7bc44ee933c65                             0   \n",
       "3     58cfdefdacb37b556efdff7c                             0   \n",
       "4     5ab3b592c3911a095ad5dadb                             0   \n",
       "...                        ...                           ...   \n",
       "1568  5b507899ab577736508a0782                             0   \n",
       "1569  54d83b6b6b8a771e478558de                             0   \n",
       "1570  5b42da1bf64320209fc8da69                             0   \n",
       "1571  5d56b32c40defd78043d5af9                             0   \n",
       "1572  5a409cf87b584e7951b2e25f                             0   \n",
       "\n",
       "      merchant_profile_picture  \\\n",
       "0                          NaN   \n",
       "1                          NaN   \n",
       "2                          NaN   \n",
       "3                          NaN   \n",
       "4                          NaN   \n",
       "...                        ...   \n",
       "1568                       NaN   \n",
       "1569                       NaN   \n",
       "1570                       NaN   \n",
       "1571                       NaN   \n",
       "1572                       NaN   \n",
       "\n",
       "                                          product_url  \\\n",
       "0     https://www.wish.com/c/5e9ae51d43d6a96e303acdb0   \n",
       "1     https://www.wish.com/c/58940d436a0d3d5da4e95a38   \n",
       "2     https://www.wish.com/c/5ea10e2c617580260d55310a   \n",
       "3     https://www.wish.com/c/5cedf17ad1d44c52c59e4aca   \n",
       "4     https://www.wish.com/c/5ebf5819ebac372b070b0e70   \n",
       "...                                               ...   \n",
       "1568  https://www.wish.com/c/5d5fadc99febd9356cbc52ee   \n",
       "1569  https://www.wish.com/c/5eccd22b4497b86fd48f16b4   \n",
       "1570  https://www.wish.com/c/5e74be96034d613d42b52dfe   \n",
       "1571  https://www.wish.com/c/5eda07ab0e295c2097c36590   \n",
       "1572  https://www.wish.com/c/5e857321f53c3d2d8f25e7ed   \n",
       "\n",
       "                                        product_picture  \\\n",
       "0     https://contestimg.wish.com/api/webimage/5e9ae...   \n",
       "1     https://contestimg.wish.com/api/webimage/58940...   \n",
       "2     https://contestimg.wish.com/api/webimage/5ea10...   \n",
       "3     https://contestimg.wish.com/api/webimage/5cedf...   \n",
       "4     https://contestimg.wish.com/api/webimage/5ebf5...   \n",
       "...                                                 ...   \n",
       "1568  https://contestimg.wish.com/api/webimage/5d5fa...   \n",
       "1569  https://contestimg.wish.com/api/webimage/5eccd...   \n",
       "1570  https://contestimg.wish.com/api/webimage/5e74b...   \n",
       "1571  https://contestimg.wish.com/api/webimage/5eda0...   \n",
       "1572  https://contestimg.wish.com/api/webimage/5e857...   \n",
       "\n",
       "                    product_id   theme crawl_month  \n",
       "0     5e9ae51d43d6a96e303acdb0  summer     2020-08  \n",
       "1     58940d436a0d3d5da4e95a38  summer     2020-08  \n",
       "2     5ea10e2c617580260d55310a  summer     2020-08  \n",
       "3     5cedf17ad1d44c52c59e4aca  summer     2020-08  \n",
       "4     5ebf5819ebac372b070b0e70  summer     2020-08  \n",
       "...                        ...     ...         ...  \n",
       "1568  5d5fadc99febd9356cbc52ee  summer     2020-08  \n",
       "1569  5eccd22b4497b86fd48f16b4  summer     2020-08  \n",
       "1570  5e74be96034d613d42b52dfe  summer     2020-08  \n",
       "1571  5eda07ab0e295c2097c36590  summer     2020-08  \n",
       "1572  5e857321f53c3d2d8f25e7ed  summer     2020-08  \n",
       "\n",
       "[1539 rows x 43 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#删除重复项\n",
    "drop_dupli = imp.drop_duplicates()\n",
    "drop_dupli"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>1568</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1569</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1570</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1571</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1572</th>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>...</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1573 rows × 43 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      title  title_orig  price  retail_price  currency_buyer  units_sold  \\\n",
       "0     False       False  False         False           False       False   \n",
       "1     False       False  False         False           False       False   \n",
       "2     False       False  False         False           False       False   \n",
       "3     False       False  False         False           False       False   \n",
       "4     False       False  False         False           False       False   \n",
       "...     ...         ...    ...           ...             ...         ...   \n",
       "1568  False       False  False         False           False       False   \n",
       "1569  False       False  False         False           False       False   \n",
       "1570  False       False  False         False           False       False   \n",
       "1571  False       False  False         False           False       False   \n",
       "1572  False       False  False         False           False       False   \n",
       "\n",
       "      uses_ad_boosts  rating  rating_count  rating_five_count  ...  \\\n",
       "0              False   False         False              False  ...   \n",
       "1              False   False         False              False  ...   \n",
       "2              False   False         False              False  ...   \n",
       "3              False   False         False              False  ...   \n",
       "4              False   False         False              False  ...   \n",
       "...              ...     ...           ...                ...  ...   \n",
       "1568           False   False         False              False  ...   \n",
       "1569           False   False         False              False  ...   \n",
       "1570           False   False         False              False  ...   \n",
       "1571           False   False         False              False  ...   \n",
       "1572           False   False         False              False  ...   \n",
       "\n",
       "      merchant_rating_count  merchant_rating  merchant_id  \\\n",
       "0                     False            False        False   \n",
       "1                     False            False        False   \n",
       "2                     False            False        False   \n",
       "3                     False            False        False   \n",
       "4                     False            False        False   \n",
       "...                     ...              ...          ...   \n",
       "1568                  False            False        False   \n",
       "1569                  False            False        False   \n",
       "1570                  False            False        False   \n",
       "1571                  False            False        False   \n",
       "1572                  False            False        False   \n",
       "\n",
       "      merchant_has_profile_picture  merchant_profile_picture  product_url  \\\n",
       "0                            False                      True        False   \n",
       "1                            False                      True        False   \n",
       "2                            False                      True        False   \n",
       "3                            False                      True        False   \n",
       "4                            False                      True        False   \n",
       "...                            ...                       ...          ...   \n",
       "1568                         False                      True        False   \n",
       "1569                         False                      True        False   \n",
       "1570                         False                      True        False   \n",
       "1571                         False                      True        False   \n",
       "1572                         False                      True        False   \n",
       "\n",
       "      product_picture  product_id  theme  crawl_month  \n",
       "0               False       False  False        False  \n",
       "1               False       False  False        False  \n",
       "2               False       False  False        False  \n",
       "3               False       False  False        False  \n",
       "4               False       False  False        False  \n",
       "...               ...         ...    ...          ...  \n",
       "1568            False       False  False        False  \n",
       "1569            False       False  False        False  \n",
       "1570            False       False  False        False  \n",
       "1571            False       False  False        False  \n",
       "1572            False       False  False        False  \n",
       "\n",
       "[1573 rows x 43 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#检查缺失值\n",
    "imp.isnull()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "title                              0\n",
       "title_orig                         0\n",
       "price                              0\n",
       "retail_price                       0\n",
       "currency_buyer                     0\n",
       "units_sold                         0\n",
       "uses_ad_boosts                     0\n",
       "rating                             0\n",
       "rating_count                       0\n",
       "rating_five_count                 45\n",
       "rating_four_count                 45\n",
       "rating_three_count                45\n",
       "rating_two_count                  45\n",
       "rating_one_count                  45\n",
       "badges_count                       0\n",
       "badge_local_product                0\n",
       "badge_product_quality              0\n",
       "badge_fast_shipping                0\n",
       "tags                               0\n",
       "product_color                     41\n",
       "product_variation_size_id         14\n",
       "product_variation_inventory        0\n",
       "shipping_option_name               0\n",
       "shipping_option_price              0\n",
       "shipping_is_express                0\n",
       "countries_shipped_to               0\n",
       "inventory_total                    0\n",
       "has_urgency_banner              1100\n",
       "urgency_text                    1100\n",
       "origin_country                    17\n",
       "merchant_title                     0\n",
       "merchant_name                      4\n",
       "merchant_info_subtitle             1\n",
       "merchant_rating_count              0\n",
       "merchant_rating                    0\n",
       "merchant_id                        0\n",
       "merchant_has_profile_picture       0\n",
       "merchant_profile_picture        1347\n",
       "product_url                        0\n",
       "product_picture                    0\n",
       "product_id                         0\n",
       "theme                              0\n",
       "crawl_month                        0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#统计缺失值个数\n",
    "imp.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
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       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>title</th>\n",
       "      <th>title_orig</th>\n",
       "      <th>price</th>\n",
       "      <th>retail_price</th>\n",
       "      <th>currency_buyer</th>\n",
       "      <th>units_sold</th>\n",
       "      <th>uses_ad_boosts</th>\n",
       "      <th>rating</th>\n",
       "      <th>rating_count</th>\n",
       "      <th>rating_five_count</th>\n",
       "      <th>...</th>\n",
       "      <th>merchant_rating_count</th>\n",
       "      <th>merchant_rating</th>\n",
       "      <th>merchant_id</th>\n",
       "      <th>merchant_has_profile_picture</th>\n",
       "      <th>merchant_profile_picture</th>\n",
       "      <th>product_url</th>\n",
       "      <th>product_picture</th>\n",
       "      <th>product_id</th>\n",
       "      <th>theme</th>\n",
       "      <th>crawl_month</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>nulls</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>45</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1347</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1 rows × 43 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       title  title_orig  price  retail_price  currency_buyer  units_sold  \\\n",
       "nulls      0           0      0             0               0           0   \n",
       "\n",
       "       uses_ad_boosts  rating  rating_count  rating_five_count  ...  \\\n",
       "nulls               0       0             0                 45  ...   \n",
       "\n",
       "       merchant_rating_count  merchant_rating  merchant_id  \\\n",
       "nulls                      0                0            0   \n",
       "\n",
       "       merchant_has_profile_picture  merchant_profile_picture  product_url  \\\n",
       "nulls                             0                      1347            0   \n",
       "\n",
       "       product_picture  product_id  theme  crawl_month  \n",
       "nulls                0           0      0            0  \n",
       "\n",
       "[1 rows x 43 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "null1 = imp.isnull().sum().to_frame(name='nulls').T\n",
    "null1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>title</th>\n",
       "      <th>title_orig</th>\n",
       "      <th>price</th>\n",
       "      <th>retail_price</th>\n",
       "      <th>currency_buyer</th>\n",
       "      <th>units_sold</th>\n",
       "      <th>uses_ad_boosts</th>\n",
       "      <th>rating</th>\n",
       "      <th>rating_count</th>\n",
       "      <th>rating_five_count</th>\n",
       "      <th>...</th>\n",
       "      <th>merchant_rating_count</th>\n",
       "      <th>merchant_rating</th>\n",
       "      <th>merchant_id</th>\n",
       "      <th>merchant_has_profile_picture</th>\n",
       "      <th>merchant_profile_picture</th>\n",
       "      <th>product_url</th>\n",
       "      <th>product_picture</th>\n",
       "      <th>product_id</th>\n",
       "      <th>theme</th>\n",
       "      <th>crawl_month</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>dtypes</th>\n",
       "      <td>object</td>\n",
       "      <td>object</td>\n",
       "      <td>float64</td>\n",
       "      <td>int64</td>\n",
       "      <td>object</td>\n",
       "      <td>int64</td>\n",
       "      <td>int64</td>\n",
       "      <td>float64</td>\n",
       "      <td>int64</td>\n",
       "      <td>float64</td>\n",
       "      <td>...</td>\n",
       "      <td>int64</td>\n",
       "      <td>float64</td>\n",
       "      <td>object</td>\n",
       "      <td>int64</td>\n",
       "      <td>object</td>\n",
       "      <td>object</td>\n",
       "      <td>object</td>\n",
       "      <td>object</td>\n",
       "      <td>object</td>\n",
       "      <td>object</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1 rows × 43 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         title title_orig    price retail_price currency_buyer units_sold  \\\n",
       "dtypes  object     object  float64        int64         object      int64   \n",
       "\n",
       "       uses_ad_boosts   rating rating_count rating_five_count  ...  \\\n",
       "dtypes          int64  float64        int64           float64  ...   \n",
       "\n",
       "       merchant_rating_count merchant_rating merchant_id  \\\n",
       "dtypes                 int64         float64      object   \n",
       "\n",
       "       merchant_has_profile_picture merchant_profile_picture product_url  \\\n",
       "dtypes                        int64                   object      object   \n",
       "\n",
       "       product_picture product_id   theme crawl_month  \n",
       "dtypes          object     object  object      object  \n",
       "\n",
       "[1 rows x 43 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dtype = imp.dtypes.to_frame(name='dtypes').T\n",
    "dtype"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>title</th>\n",
       "      <th>title_orig</th>\n",
       "      <th>price</th>\n",
       "      <th>retail_price</th>\n",
       "      <th>currency_buyer</th>\n",
       "      <th>units_sold</th>\n",
       "      <th>uses_ad_boosts</th>\n",
       "      <th>rating</th>\n",
       "      <th>rating_count</th>\n",
       "      <th>rating_five_count</th>\n",
       "      <th>...</th>\n",
       "      <th>merchant_rating_count</th>\n",
       "      <th>merchant_rating</th>\n",
       "      <th>merchant_id</th>\n",
       "      <th>merchant_has_profile_picture</th>\n",
       "      <th>merchant_profile_picture</th>\n",
       "      <th>product_url</th>\n",
       "      <th>product_picture</th>\n",
       "      <th>product_id</th>\n",
       "      <th>theme</th>\n",
       "      <th>crawl_month</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>unique</th>\n",
       "      <td>1201</td>\n",
       "      <td>1203</td>\n",
       "      <td>127</td>\n",
       "      <td>104</td>\n",
       "      <td>1</td>\n",
       "      <td>15</td>\n",
       "      <td>2</td>\n",
       "      <td>192</td>\n",
       "      <td>761</td>\n",
       "      <td>605</td>\n",
       "      <td>...</td>\n",
       "      <td>917</td>\n",
       "      <td>952</td>\n",
       "      <td>958</td>\n",
       "      <td>2</td>\n",
       "      <td>125</td>\n",
       "      <td>1341</td>\n",
       "      <td>1341</td>\n",
       "      <td>1341</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1 rows × 43 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        title  title_orig  price  retail_price  currency_buyer  units_sold  \\\n",
       "unique   1201        1203    127           104               1          15   \n",
       "\n",
       "        uses_ad_boosts  rating  rating_count  rating_five_count  ...  \\\n",
       "unique               2     192           761                605  ...   \n",
       "\n",
       "        merchant_rating_count  merchant_rating  merchant_id  \\\n",
       "unique                    917              952          958   \n",
       "\n",
       "        merchant_has_profile_picture  merchant_profile_picture  product_url  \\\n",
       "unique                             2                       125         1341   \n",
       "\n",
       "        product_picture  product_id  theme  crawl_month  \n",
       "unique             1341        1341      1            1  \n",
       "\n",
       "[1 rows x 43 columns]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#统计每列的唯一值个数\n",
    "nunique = imp.nunique().to_frame(name='unique').T\n",
    "nunique"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
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       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>title</th>\n",
       "      <th>title_orig</th>\n",
       "      <th>price</th>\n",
       "      <th>retail_price</th>\n",
       "      <th>currency_buyer</th>\n",
       "      <th>units_sold</th>\n",
       "      <th>uses_ad_boosts</th>\n",
       "      <th>rating</th>\n",
       "      <th>rating_count</th>\n",
       "      <th>rating_five_count</th>\n",
       "      <th>...</th>\n",
       "      <th>merchant_rating_count</th>\n",
       "      <th>merchant_rating</th>\n",
       "      <th>merchant_id</th>\n",
       "      <th>merchant_has_profile_picture</th>\n",
       "      <th>merchant_profile_picture</th>\n",
       "      <th>product_url</th>\n",
       "      <th>product_picture</th>\n",
       "      <th>product_id</th>\n",
       "      <th>theme</th>\n",
       "      <th>crawl_month</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>nulls</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>45</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1347</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>dtypes</th>\n",
       "      <td>object</td>\n",
       "      <td>object</td>\n",
       "      <td>float64</td>\n",
       "      <td>int64</td>\n",
       "      <td>object</td>\n",
       "      <td>int64</td>\n",
       "      <td>int64</td>\n",
       "      <td>float64</td>\n",
       "      <td>int64</td>\n",
       "      <td>float64</td>\n",
       "      <td>...</td>\n",
       "      <td>int64</td>\n",
       "      <td>float64</td>\n",
       "      <td>object</td>\n",
       "      <td>int64</td>\n",
       "      <td>object</td>\n",
       "      <td>object</td>\n",
       "      <td>object</td>\n",
       "      <td>object</td>\n",
       "      <td>object</td>\n",
       "      <td>object</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>unique</th>\n",
       "      <td>1201</td>\n",
       "      <td>1203</td>\n",
       "      <td>127</td>\n",
       "      <td>104</td>\n",
       "      <td>1</td>\n",
       "      <td>15</td>\n",
       "      <td>2</td>\n",
       "      <td>192</td>\n",
       "      <td>761</td>\n",
       "      <td>605</td>\n",
       "      <td>...</td>\n",
       "      <td>917</td>\n",
       "      <td>952</td>\n",
       "      <td>958</td>\n",
       "      <td>2</td>\n",
       "      <td>125</td>\n",
       "      <td>1341</td>\n",
       "      <td>1341</td>\n",
       "      <td>1341</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3 rows × 43 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         title title_orig    price retail_price currency_buyer units_sold  \\\n",
       "nulls        0          0        0            0              0          0   \n",
       "dtypes  object     object  float64        int64         object      int64   \n",
       "unique    1201       1203      127          104              1         15   \n",
       "\n",
       "       uses_ad_boosts   rating rating_count rating_five_count  ...  \\\n",
       "nulls               0        0            0                45  ...   \n",
       "dtypes          int64  float64        int64           float64  ...   \n",
       "unique              2      192          761               605  ...   \n",
       "\n",
       "       merchant_rating_count merchant_rating merchant_id  \\\n",
       "nulls                      0               0           0   \n",
       "dtypes                 int64         float64      object   \n",
       "unique                   917             952         958   \n",
       "\n",
       "       merchant_has_profile_picture merchant_profile_picture product_url  \\\n",
       "nulls                             0                     1347           0   \n",
       "dtypes                        int64                   object      object   \n",
       "unique                            2                      125        1341   \n",
       "\n",
       "       product_picture product_id   theme crawl_month  \n",
       "nulls                0          0       0           0  \n",
       "dtypes          object     object  object      object  \n",
       "unique            1341       1341       1           1  \n",
       "\n",
       "[3 rows x 43 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#组合缺失值个数、数据类型、唯一值个数的信息\n",
    "pd.concat([null1,dtype,nunique],axis=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "#定义绘制直方图和计数图的函数\n",
    "def histograms_and_countplots(column, data, columns_to_exclude):\n",
    "    if column not in columns_to_exclude:\n",
    "        if data[column].dtype not in ['int64', 'float64']:# 绘制计数图\n",
    "            f, axes = plt.subplots(1,1,figsize=(15,5))\n",
    "            sns.countplot(x=column, data = data)\n",
    "            plt.xticks(rotation=90)\n",
    "            plt.suptitle(column,fontsize=20)\n",
    "            plt.show()\n",
    "        else:# 绘制直方图\n",
    "            g = sns.FacetGrid(data, margin_titles=True, aspect=4, height=3)\n",
    "            g.map(plt.hist,column,bins=100)\n",
    "            plt.show()\n",
    "        plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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66KI0b948w4cPz8qVKzNkyJBcccUV5fMtWrTIrFmzcswxx6S6ujrt27fPqFGjcuaZZ67vVgAAAADYSDUrlUqlpm6iserq6lJZWZna2tqPzFv5ek26/UPVLZk6dAN3AgAAAKwvft5/f416phQAAAAArA9CKQAAAAAKJ5QCAAAAoHBCKQAAAAAKJ5QCAAAAoHBCKQAAAAAKJ5QCAAAAoHBCKQAAAAAKJ5QCAAAAoHBCKQAAAAAKJ5QCAAAAoHBCKQAAAAAKJ5QCAAAAoHBCKQAAAAAKJ5QCAAAAoHBCKQAAAAAKJ5QCAAAAoHBCKQAAAAAKJ5QCAAAAoHBCKQAAAAAKJ5QCAAAAoHBCKQAAAAAKJ5QCAAAAoHBCKQAAAAAKJ5QCAAAAoHBCKQAAAAAKJ5QCAAAAoHBCKQAAAAAKJ5QCAAAAoHBCKQAAAAAKJ5QCAAAAoHBCKQAAAAAKJ5QCAAAAoHBCKQAAAAAKJ5QCAAAAoHBCKQAAAAAKJ5QCAAAAoHBCKQAAAAAK16hQ6txzz83uu++ejh07pmvXrhk2bFgWL17coObtt9/O2LFj06VLl3To0CHDhw/PsmXLGtQsXbo0Q4cOzWabbZauXbvmpJNOypo1a/712QAAAACwSWhUKHX//fdn7Nix+d3vfpd77rknq1evzr777ps33nijXDNhwoT88pe/zE033ZT7778/L774Yr7yla+Uz9fX12fo0KFZtWpVHnzwwVx33XWZMWNGJk+evP5mBQAAAMBGrVmpVCqt68Uvv/xyunbtmvvvvz977713amtrs+WWW+bGG2/MV7/61STJk08+mb59+2bu3LnZY489cuedd+bAAw/Miy++mKqqqiTJ9OnTc8opp+Tll19O69atP/B16+rqUllZmdra2lRUVKxr+xuVXpNu/1B1S6YO3cCdAAAAAOuLn/ff37/0TKna2tokyeabb54kmT9/flavXp3BgweXa7bffvtsvfXWmTt3bpJk7ty52WmnncqBVJIMGTIkdXV1eeKJJ97zdVauXJm6uroGBwAAAACbrnUOpdauXZvx48dnr732yo477pgkqampSevWrdOpU6cGtVVVVampqSnX/N9A6p3z75x7L+eee24qKyvLR8+ePde1bQAAAAA2AuscSo0dOzZ//OMfM3PmzPXZz3s69dRTU1tbWz6ef/75Df6aAAAAAGw4LdflonHjxmXWrFl54IEH8olPfKI83q1bt6xatSorVqxosFtq2bJl6datW7nmoYceanC/dz6d752af9SmTZu0adNmXVoFAAAAYCPUqJ1SpVIp48aNyy233JJ77703vXv3bnB+wIABadWqVebMmVMeW7x4cZYuXZrq6uokSXV1dRYsWJDly5eXa+65555UVFSkX79+/8pcAAAAANhENGqn1NixY3PjjTfmf/7nf9KxY8fyM6AqKyvTrl27VFZWZvTo0Zk4cWI233zzVFRU5Nvf/naqq6uzxx57JEn23Xff9OvXLyNHjsx5552XmpqanHbaaRk7dqzdUAAAAAAfE40Kpa688sokyec///kG49dee22OOOKIJMlFF12U5s2bZ/jw4Vm5cmWGDBmSK664olzbokWLzJo1K8ccc0yqq6vTvn37jBo1Kmeeeea/NhMAAAAANhmNCqVKpdIH1rRt2zbTpk3LtGnT3rdmm222yR133NGYlwYAAADgI2SdP30PAAAAANaVUAoAAACAwgmlAAAAACicUAoAAACAwgmlAAAAACicUAoAAACAwgmlAAAAACicUAoAAACAwgmlAAAAACicUAoAAACAwgmlAAAAACicUAoAAACAwgmlAAAAACicUAoAAACAwgmlAAAAACicUAoAAACAwgmlAAAAACicUAoAAACAwgmlAAAAACicUAoAAACAwgmlAAAAACicUAoAAACAwgmlAAAAACicUAoAAACAwgmlAAAAACicUAoAAACAwgmlAAAAACicUAoAAACAwgmlAAAAACicUAoAAACAwgmlAAAAACicUAoAAACAwgmlAAAAACicUAoAAACAwgmlAAAAACicUAoAAACAwgmlAAAAAChck4VS06ZNS69evdK2bdsMGjQoDz30UFO1AgAAAEDBmiSU+ulPf5qJEydmypQpefTRR7PLLrtkyJAhWb58eVO0AwAAAEDBmiSUuvDCC3PUUUflyCOPTL9+/TJ9+vRsttlm+eEPf9gU7QAAAABQsMJDqVWrVmX+/PkZPHjw/2+iefMMHjw4c+fOLbodAAAAAJpAy6Jf8K9//Wvq6+tTVVXVYLyqqipPPvnke16zcuXKrFy5svx1bW1tkqSurm7DNVqwtSvf/FB1H6U5AwAAwEfdx/nn/Y4dO6ZZs2bve77wUGpdnHvuufnud7/7rvGePXs2QTdNq/Lipu4AAAAAWN8+ij/v19bWpqKi4n3PFx5KbbHFFmnRokWWLVvWYHzZsmXp1q3be15z6qmnZuLEieWv165dm1deeSVdunT5p4nbpqKuri49e/bM888//0//YQH/n3UDjWfdQONZN9B41g003kd13XTs2PGfni88lGrdunUGDBiQOXPmZNiwYUn+HjLNmTMn48aNe89r2rRpkzZt2jQY69Sp0wbutHgVFRUfqX/5oAjWDTSedQONZ91A41k30Hgft3XTJG/fmzhxYkaNGpWBAwfmM5/5TC6++OK88cYbOfLII5uiHQAAAAAK1iSh1KGHHpqXX345kydPTk1NTfr375/Zs2e/6+HnAAAAAHw0NdmDzseNG/e+b9f7uGnTpk2mTJnyrrcoAu/PuoHGs26g8awbaDzrBhrv47pumpVKpVJTNwEAAADAx0vzpm4AAAAAgI8foRQAAAAAhRNKAQAAAFA4oVRBpk2bll69eqVt27YZNGhQHnrooX9af9NNN2X77bdP27Zts9NOO+WOO+4oqFPYeDRm3Vx99dX53Oc+l86dO6dz584ZPHjwB64z+Chq7N8375g5c2aaNWuWYcOGbdgGYSPU2HWzYsWKjB07Nt27d0+bNm2y7bbb+n81PnYau24uvvjibLfddmnXrl169uyZCRMm5O233y6oW2h6DzzwQA466KD06NEjzZo1y6233vqB19x3333Zbbfd0qZNm3z605/OjBkzNnifRRNKFeCnP/1pJk6cmClTpuTRRx/NLrvskiFDhmT58uXvWf/ggw/m61//ekaPHp3HHnssw4YNy7Bhw/LHP/6x4M6h6TR23dx33335+te/nl/96leZO3duevbsmX333TcvvPBCwZ1D02nsunnHkiVLcuKJJ+Zzn/tcQZ3CxqOx62bVqlX50pe+lCVLluTnP/95Fi9enKuvvjpbbbVVwZ1D02nsurnxxhszadKkTJkyJYsWLco111yTn/70p/nOd75TcOfQdN54443ssssumTZt2oeqf/bZZzN06NB84QtfyOOPP57x48fnm9/8Zu66664N3GmxfPpeAQYNGpTdd989l19+eZJk7dq16dmzZ7797W9n0qRJ76o/9NBD88Ybb2TWrFnlsT322CP9+/fP9OnTC+sbmlJj180/qq+vT+fOnXP55Zfn8MMP39DtwkZhXdZNfX199t5773zjG9/Ir3/966xYseJD/eYOPioau26mT5+e//qv/8qTTz6ZVq1aFd0ubBQau27GjRuXRYsWZc6cOeWxE044IfPmzctvfvObwvqGjUWzZs1yyy23/NMd6qecckpuv/32BptTDjvssKxYsSKzZ88uoMti2Cm1ga1atSrz58/P4MGDy2PNmzfP4MGDM3fu3Pe8Zu7cuQ3qk2TIkCHvWw8fNeuybv7Rm2++mdWrV2fzzTffUG3CRmVd182ZZ56Zrl27ZvTo0UW0CRuVdVk3t912W6qrqzN27NhUVVVlxx13zDnnnJP6+vqi2oYmtS7rZs8998z8+fPLb/F75plncscdd+SAAw4opGfYFH1ccoGWTd3AR91f//rX1NfXp6qqqsF4VVVVnnzyyfe8pqam5j3ra2pqNlifsDFZl3Xzj0455ZT06NHjXf8hh4+qdVk3v/nNb3LNNdfk8ccfL6BD2Pisy7p55plncu+992bEiBG544478qc//SnHHntsVq9enSlTphTRNjSpdVk3//7v/56//vWv+exnP5tSqZQ1a9bk6KOP9vY9+CfeLxeoq6vLW2+9lXbt2jVRZ+uXnVLAR87UqVMzc+bM3HLLLWnbtm1TtwMbpddeey0jR47M1VdfnS222KKp24FNxtq1a9O1a9dcddVVGTBgQA499ND853/+p0cswD9x33335ZxzzskVV1yRRx99NDfffHNuv/32nHXWWU3dGtDE7JTawLbYYou0aNEiy5YtazC+bNmydOvW7T2v6datW6Pq4aNmXdbNO84///xMnTo1//u//5udd955Q7YJG5XGrps///nPWbJkSQ466KDy2Nq1a5MkLVu2zOLFi/OpT31qwzYNTWxd/r7p3r17WrVqlRYtWpTH+vbtm5qamqxatSqtW7feoD1DU1uXdXP66adn5MiR+eY3v5kk2WmnnfLGG29kzJgx+c///M80b26vBPyj98sFKioqPjK7pBI7pTa41q1bZ8CAAQ0e6rd27drMmTMn1dXV73lNdXV1g/okueeee963Hj5q1mXdJMl5552Xs846K7Nnz87AgQOLaBU2Go1dN9tvv30WLFiQxx9/vHx8+ctfLn/CS8+ePYtsH5rEuvx9s9dee+VPf/pTOcRNkqeeeirdu3cXSPGxsC7r5s0333xX8PROsOtzt+C9fWxygRIb3MyZM0tt2rQpzZgxo7Rw4cLSmDFjSp06dSrV1NSUSqVSaeTIkaVJkyaV63/729+WWrZsWTr//PNLixYtKk2ZMqXUqlWr0oIFC5pqClC4xq6bqVOnllq3bl36+c9/XnrppZfKx2uvvdZUU4DCNXbd/KNRo0aVDj744IK6hY1DY9fN0qVLSx07diyNGzeutHjx4tKsWbNKXbt2LZ199tlNNQUoXGPXzZQpU0odO3Ys/eQnPyk988wzpbvvvrv0qU99qnTIIYc01RSgcK+99lrpscceKz322GOlJKULL7yw9Nhjj5Wee+65UqlUKk2aNKk0cuTIcv0zzzxT2myzzUonnXRSadGiRaVp06aVWrRoUZo9e3ZTTWGD8Pa9Ahx66KF5+eWXM3ny5NTU1KR///6ZPXt2+aFlS5cubfCbgz333DM33nhjTjvttHznO99Jnz59cuutt2bHHXdsqilA4Rq7bq688sqsWrUqX/3qVxvcZ8qUKTnjjDOKbB2aTGPXDdD4ddOzZ8/cddddmTBhQnbeeedstdVWOf7443PKKac01RSgcI1dN6eddlqaNWuW0047LS+88EK23HLLHHTQQfne977XVFOAwj3yyCP5whe+UP564sSJSZJRo0ZlxowZeemll7J06dLy+d69e+f222/PhAkTcskll+QTn/hE/vu//ztDhgwpvPcNqVmpZL8kAAAAAMXy61IAAAAACieUAgAAAKBwQikAAAAACieUAgAAAKBwQikAAAAACieUAgAAAKBwQikAAAAACieUAgAAAKBwQikAgCZ0xBFHZNiwYR+q9vOf/3zGjx+/QfsBACiKUAoAgA9NMAYArC9CKQAAAAAKJ5QCADY5vXr1ysUXX9xgrH///jnjjDNSKpVyxhlnZOutt06bNm3So0ePHHfcceW6lStX5sQTT8xWW22V9u3bZ9CgQbnvvvvK55977rkcdNBB6dy5c9q3b58ddtghd9xxxwf2VF9fn9GjR6d3795p165dtttuu1xyySXvqpk4cWI6deqULl265OSTT06pVGrU3NesWZNx48alsrIyW2yxRU4//fQG93j11Vdz+OGHp3Pnztlss82y//775+mnn25wj1/84hfZYYcd0qZNm/Tq1SsXXHBBg/NXXHFF+vTpk7Zt26aqqipf/epXk/z9rYb3339/LrnkkjRr1izNmjXLkiVL8uqrr2bEiBHZcsst065du/Tp0yfXXntto+YFAHz8tGzqBgAA1qdf/OIXueiiizJz5szssMMOqampye9///vy+XHjxmXhwoWZOXNmevTokVtuuSX77bdfFixYkD59+mTs2LFZtWpVHnjggbRv3z4LFy5Mhw4dPvB1165dm0984hO56aab0qVLlzz44IMZM2ZMunfvnkMOOSRJcsEFF2TGjBn54Q9/mL59++aCCy7ILbfcki9+8Ysfen7XXXddRo8enYceeiiPPPJIxowZk6233jpHHXVUkr8HR08//XRuu+22VFRU5JRTTskBBxyQhQsXplWrVpk/f34OOeSQnHHGGTn00EPz4IMP5thjj02XLl1yxBFH5JFHHslxxx2XH//4x9lzzz3zyiuv5Ne//nWS5JJLLslTTz2VHXfcMWeeeWaSZMstt8zxxx+fhQsX5s4778wWW2yRP/3pT3nrrbc+9JwAgI+nZqXG/noOAKCJ9erVK+PHj2/wbKP+/ftn2LBhqaioyA9+8IP88Y9/TKtWrRpct3Tp0nzyk5/M0qVL06NHj/L44MGD85nPfCbnnHNOdt555wwfPjxTpkz5l/scN25campq8vOf/zxJ0qNHj0yYMCEnnXRSkr/veurdu3cGDBiQW2+99QPv9/nPfz7Lly/PE088kWbNmiVJJk2alNtuuy0LFy7M008/nW233Ta//e1vs+eeeyZJ/va3v6Vnz5657rrr8rWvfS0jRozIyy+/nLvvvrt835NPPjm33357nnjiidx888058sgj85e//CUdO3Z8zx769+/fYKfal7/85WyxxRb54Q9/uK7fKgDgY8jb9wCAj5Svfe1reeutt/LJT34yRx11VG655ZasWbMmSbJgwYLU19dn2223TYcOHcrH/fffnz//+c9JkuOOOy5nn3129tprr0yZMiV/+MMfPvRrT5s2LQMGDMiWW26ZDh065KqrrsrSpUuTJLW1tXnppZcyaNCgcn3Lli0zcODARs1vjz32KAdSSVJdXZ2nn3469fX1WbRoUVq2bNngNbp06ZLtttsuixYtSpIsWrQoe+21V4N77rXXXuV7fOlLX8o222yTT37ykxk5cmRuuOGGvPnmm/+0p2OOOSYzZ85M//79c/LJJ+fBBx9s1JwAgI8noRQAsMlp3rz5u57FtHr16iRJz549s3jx4lxxxRVp165djj322Oy9995ZvXp1Xn/99bRo0SLz58/P448/Xj4WLVpUfv7TN7/5zTzzzDMZOXJkFixYkIEDB+ayyy77wJ5mzpyZE088MaNHj87dd9+dxx9/PEceeWRWrVq1/r8BG1DHjh3z6KOP5ic/+Um6d++eyZMnZ5dddsmKFSve95r9998/zz33XCZMmJAXX3wx++yzT0488cTimgYANklCKQBgk7PlllvmpZdeKn9dV1eXZ599tvx1u3btctBBB+XSSy/Nfffdl7lz52bBggXZddddU19fn+XLl+fTn/50g6Nbt27l63v27Jmjjz46N998c0444YRcffXVH9jTO2+ZO/bYY7Prrrvm05/+dHn3VZJUVlame/fumTdvXnlszZo1mT9/fqPm/n+vT5Lf/e536dOnT1q0aJG+fftmzZo1DWr+9re/ZfHixenXr1+SpG/fvvntb3/7rt633XbbtGjRIsnfd3ANHjw45513Xv7whz9kyZIluffee5MkrVu3Tn19/bv62nLLLTNq1Khcf/31ufjii3PVVVc1al4AwMePB50DAJucL37xi5kxY0YOOuigdOrUKZMnTy4HKjNmzEh9fX0GDRqUzTbbLNdff33atWuXbbbZJl26dMmIESNy+OGH54ILLsiuu+6al19+OXPmzMnOO++coUOHZvz48dl///2z7bbb5tVXX82vfvWr9O3b9wN76tOnT370ox/lrrvuSu/evfPjH/84Dz/8cHr37l2uOf744zN16tT06dMn22+/fS688MJ/ugPpvSxdujQTJ07Mt771rTz66KO57LLLyp+e16dPnxx88ME56qij8oMf/CAdO3bMpEmTstVWW+Xggw9OkpxwwgnZfffdc9ZZZ+XQQw/N3Llzc/nll+eKK65IksyaNSvPPPNM9t5773Tu3Dl33HFH1q5dm+222y7J35/nNW/evCxZsiQdOnTI5ptvnjPOOCMDBgzIDjvskJUrV2bWrFkf6nsGAHy8CaUAgE3OqaeemmeffTYHHnhgKisrc9ZZZ5V3SnXq1ClTp07NxIkTU19fn5122im//OUv06VLlyTJtddem7PPPjsnnHBCXnjhhWyxxRbZY489cuCBByZJ6uvrM3bs2PzlL39JRUVF9ttvv1x00UUf2NO3vvWtPPbYYzn00EPTrFmzfP3rX8+xxx6bO++8s1xzwgkn5KWXXsqoUaPSvHnzfOMb38i//du/pba29kPP/fDDD89bb72Vz3zmM2nRokWOP/74jBkzpnz+2muvzfHHH58DDzwwq1atyt5775077rij/ND33XbbLT/72c8yefLknHXWWenevXvOPPPMHHHEEeXv380335wzzjgjb7/9dvr06ZOf/OQn2WGHHZIkJ554YkaNGpV+/frlrbfeyrPPPpvWrVvn1FNPzZIlS9KuXbt87nOfy8yZMz/0nACAjyefvgcAAABA4TxTCgAAAIDCCaUAAD6Eo48+Oh06dHjP4+ijj/6X77906dL3vX+HDh2ydOnS9TALAICNh7fvAQB8CMuXL09dXd17nquoqEjXrl3/pfuvWbMmS5Ysed/zvXr1SsuWHgcKAHx0CKUAAAAAKJy37wEAAABQOKEUAAAAAIUTSgEAAABQOKEUAAAAAIUTSgEAAABQOKEUAAAAAIUTSgEAAABQOKEUAAAAAIX7f/PFebi89a7HAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 1200x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1200x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1200x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1200x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1200x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1200x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1200x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1200x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#需要排除的列名列表\n",
    "columns_to_exclude = ['title', 'title_orig', 'currency_buyer', 'tags', 'merchant_title', 'merchant_name', \n",
    "                'merchant_info_subtitle', 'merchant_id', 'merchant_profile_picture', 'product_url', \n",
    "                'product_picture', 'product_id', 'theme', 'crawl_month' ]\n",
    "\n",
    "#遍历每个列名，调用函数绘制直方图和计数图\n",
    "for column in imp.columns:\n",
    "    histograms_and_countplots(column, imp, columns_to_exclude)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
